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/*
* Copyright (c) 2018 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_SELECT_FIXTURE
#define ARM_COMPUTE_TEST_SELECT_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/reference/Select.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace detail
{
/** Get the expected shape of the condition tensor
*
* @param shape Shape of the other input tensor to select
* @param has_same_same_rank Boolean that flags if the condition has the same rank with the other tensors
*
* @return the expected condition shape
*/
inline TensorShape select_condition_shape(TensorShape shape, bool has_same_same_rank)
{
TensorShape condition_shape = shape;
if(!has_same_same_rank)
{
condition_shape = TensorShape(shape[shape.num_dimensions() - 1]);
}
return condition_shape;
}
} // namespace detail
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class SelectValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, bool has_same_same_rank, DataType data_type)
{
TensorShape condition_shape = detail::select_condition_shape(shape, has_same_same_rank);
_target = compute_target(shape, condition_shape, data_type);
_reference = compute_reference(shape, condition_shape, data_type);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
template <typename U>
void fill_bool(U &&tensor, int i)
{
ARM_COMPUTE_ERROR_ON(tensor.data_type() != DataType::U8);
library->fill_tensor_uniform(tensor, i, static_cast<uint8_t>(0), static_cast<uint8_t>(1));
}
TensorType compute_target(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type)
{
// Create tensors
TensorType c_t = create_tensor<TensorType>(condition_shape, DataType::U8);
TensorType x_t = create_tensor<TensorType>(shape, data_type);
TensorType y_t = create_tensor<TensorType>(shape, data_type);
TensorType dst_t = create_tensor<TensorType>(shape, data_type);
// Create and configure function
FunctionType select;
select.configure(&c_t, &x_t, &y_t, &dst_t);
ARM_COMPUTE_EXPECT(c_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(x_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(y_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst_t.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
c_t.allocator()->allocate();
x_t.allocator()->allocate();
y_t.allocator()->allocate();
dst_t.allocator()->allocate();
ARM_COMPUTE_EXPECT(!c_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!x_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!y_t.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst_t.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill_bool(AccessorType(c_t), 0);
fill(AccessorType(x_t), 1);
fill(AccessorType(y_t), 2);
// Compute function
select.run();
return dst_t;
}
SimpleTensor<T> compute_reference(const TensorShape &shape, const TensorShape &condition_shape, DataType data_type)
{
// Create reference
SimpleTensor<uint8_t> ref_c{ condition_shape, DataType::U8 };
SimpleTensor<T> ref_x{ shape, data_type };
SimpleTensor<T> ref_y{ shape, data_type };
// Fill reference
fill_bool(ref_c, 0);
fill(ref_x, 1);
fill(ref_y, 2);
return reference::select<T>(ref_c, ref_x, ref_y);
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_SELECT_FIXTURE */
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